Topological graph description of multicellular dynamics based on vertex model. (21st January 2018)
- Record Type:
- Journal Article
- Title:
- Topological graph description of multicellular dynamics based on vertex model. (21st January 2018)
- Main Title:
- Topological graph description of multicellular dynamics based on vertex model
- Authors:
- Hashimoto, Atsushi
Nagao, Atsuki
Okuda, Satoru - Abstract:
- Highlights: We introduce graph descriptions of multicellular topological dynamics in 2D and 3D space. The descriptions are based on the 2D/3D vertex models used for physical analyses. The descriptions soundly express the entire pattern of multicellular topological dynamics. The descriptions provide the mathematical guarantee of the 2D and 3D vertex models. Graphical abstract: Abstract: Vertex models are generally powerful tools for exploring biological insights into multicellular dynamics. In these models, a multicellular structure is represented by a network, which is dynamically rearranged using topological operations. Remarkably, the topological dynamics of the network are important in guaranteeing the results from the models and their biological implications. However, it remains unclear whether the entire pattern of multicellular topological dynamics can be accurately expressed by a set of operators in the models. Surprisingly, vertex models have been empirically used for several decades without any mathematical verification. In this study, we propose a rigorous two-/three-dimensional (2D/3D) vertex model to describe multicellular topological dynamics. To do this, we classify several types of vertex models from a graph-theoretic perspective. Based on the classification, mathematical analyses reveal several conditions that enable us to apply the operators accurately without topological errors. Under these conditions, the operators can completely express the entire patternHighlights: We introduce graph descriptions of multicellular topological dynamics in 2D and 3D space. The descriptions are based on the 2D/3D vertex models used for physical analyses. The descriptions soundly express the entire pattern of multicellular topological dynamics. The descriptions provide the mathematical guarantee of the 2D and 3D vertex models. Graphical abstract: Abstract: Vertex models are generally powerful tools for exploring biological insights into multicellular dynamics. In these models, a multicellular structure is represented by a network, which is dynamically rearranged using topological operations. Remarkably, the topological dynamics of the network are important in guaranteeing the results from the models and their biological implications. However, it remains unclear whether the entire pattern of multicellular topological dynamics can be accurately expressed by a set of operators in the models. Surprisingly, vertex models have been empirically used for several decades without any mathematical verification. In this study, we propose a rigorous two-/three-dimensional (2D/3D) vertex model to describe multicellular topological dynamics. To do this, we classify several types of vertex models from a graph-theoretic perspective. Based on the classification, mathematical analyses reveal several conditions that enable us to apply the operators accurately without topological errors. Under these conditions, the operators can completely express the entire pattern of multicellular topological dynamics. From these results, we newly propose rigorous 2D/3D vertex models that can be applied to general multicellular dynamics, and we clarify several points to verify the results obtained from previous models. … (more)
- Is Part Of:
- Journal of theoretical biology. Volume 437(2018)
- Journal:
- Journal of theoretical biology
- Issue:
- Volume 437(2018)
- Issue Display:
- Volume 437, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 437
- Issue:
- 2018
- Issue Sort Value:
- 2018-0437-2018-0000
- Page Start:
- 187
- Page End:
- 201
- Publication Date:
- 2018-01-21
- Subjects:
- Multicellular dynamics -- 2D/3D vertex model -- Graph theory -- Operational soundness and completeness
Biology -- Periodicals
Biological Science Disciplines -- Periodicals
Biology -- Periodicals
Biologie -- Périodiques
Theoretische biologie
Biology
Periodicals
571.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00225193/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jtbi.2017.10.023 ↗
- Languages:
- English
- ISSNs:
- 0022-5193
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5069.075000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10730.xml